Who wins the buy slot when an AI agent does the shopping?
AI agents now discover, compare, and check out for the shopper — and they pick one seller. AgentShelf measures whether that's you across ChatGPT, Gemini & Claude, diagnoses every loss, and hands you the fix.
No login for the readiness check · demo workspace: demo@agentshelf.local / demo1234
Surfaces under surveillance
stores audited live
verified agent-ready
agentic surfaces probed
ranking signals measured
of Australians use AI assistants to research & shortlist products
of businesses are preparing for an agentic future
Australia Post is already telling merchants to get agent-ready in “Preparing your business for agentic commerce”. AgentShelf is the tool that measures it and hands you the fix.
We audited Australian retail. Most stores aren't agent-ready.
Live agent-readiness grades for real stores. The Shopify-hosted few publish UCP + MCP automatically; the majors on legacy stacks are invisible to AI shoppers.
Readiness Index — who AI agents can actually shop
Real audits of public endpoints. The Shopify-hosted stores publish UCP + MCP automatically; the majors on legacy stacks are invisible to AI shoppers — the gap AgentShelf closes.
From invisible loss to measurable win-rate
Visibility Scorecard
n = 40 · Wilson CIAppear / win / not-purchasable rates per surface — sampled across queries, geos, and repeats. Rates with confidence, never single-run truth.
Agent Readiness
UCP manifest, MCP endpoint, AI-crawler access, schema.org, latency — graded 0–100.
verified
Named Diagnosis
“Losing the buy slot on delivery & availability” — every loss gets a reason and a logistics lever to pull.
What-If Sandbox
Flip the levers — free delivery, 30-day returns, live feed — and watch the win-rate respond instantly.
Feeds, Manifest & Gateway
Generate ACP/UCP feeds and the /.well-known/ucp profile — or let us host the endpoints.
{ "ucp": { "version": "2026-04-08",
"capabilities": {
"dev.ucp.shopping.checkout": … } } }Check
Run the free readiness check — can ChatGPT, Gemini, and Claude even discover and transact with your store? UCP, MCP, crawlers, schema — graded 0–100 in seconds.
Probe
Fire realistic shopping queries at real AI agents across surfaces, geos, and repeats. See your appear / win / lose rates with confidence intervals — never single-run truth.
Fix
Every loss gets a named reason and a concrete fix — publish the UCP manifest, host an MCP endpoint, close the delivery gap. Then re-probe and prove it moved.
No impression. No click. No session. Your analytics saw nothing.
When an agent chooses a competitor, the shopper never reaches your site. AgentShelf measures the gap, names the reason, and hands you the fix.